Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation

Ge Chen, Yulan Hu, Sheng Ouyang +2

Graph autoencoders (GAEs), as a kind of generative self-supervised learning approach, have shown great potential in recent years. GAEs typically rely on distance-based criteria, su…